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Exploring the role of innovation attributes on mobile payment adoption
16 references·2 citing·32 second hop
Exploring the role of innovation attributes on mobile payment adoption (2023)Exploring the role of innovation attribut…When to use and how to report the results of PLS-SEM (2018)When to use and how to report…Mobile payment: Understanding the determinants of customer adoption and intention to recommend the technology (2016)Mobile payment: Understanding…Modeling Consumers’ Adoption Intentions of Remote Mobile Payments in the United Kingdom: Extending UTAUT with Innovativeness, Risk, and Trust (2015)Modeling Consumers’ Adoption …Common Method Bias in PLS-SEM (2015)Common Method Bias in PLS-SEMPartial least squares structural equation modeling (PLS-SEM) (2014)Partial least squares structu…An empirical examination of continuance intention of mobile payment services (2012)An empirical examination of c…Understanding consumer acceptance of mobile payment services: An empirical analysis (2009)Understanding consumer accept…An empirical examination of factors influencing the intention to use mobile payment (2009)An empirical examination of f…Exploring consumer adoption of mobile payments – A qualitative study (2007)Exploring consumer adoption o…Intentions to Use Mobile Services: Antecedents and Cross-Service Comparisons (2005)Intentions to Use Mobile Serv…Toward an understanding of the behavioral intention to use mobile banking (2004)Toward an understanding of th…Predicting consumer intentions to use on-line shopping: the case for an augmented technology acceptance model (2003)Predicting consumer intention…Consumer Perceptions of Privacy and Security Risks for Online Shopping (2001)Consumer Perceptions of Priva…The theory of planned behavior (1991)The theory of planned behaviorStructural equation modeling in practice: A review and recommended two-step approach. (1988)Structural equation modeling …Structural Equation Models with Unobservable Variables and Measurement Error: Algebra and Statistics (1981)Structural Equation Models wi…Unveiling the Future: Decrypting Mobile Investment Resistance with Multi-Stage SEM-ANN-NCA Approach (2024)Unveiling the Future: Decrypt…Paths to digital mobile payment platforms acceptance and usage: A topology for digital enthusiast consumers (2024)Paths to digital mobile payme…Common method biases in behavioral research: A critical review of the literature and recommended remedies. (2003)Transformational leadership and employee performance: The role of identification, engagement and proactive personality (2018)Role of institutional pressures and resources in the adoption of big data analytics powered artificial intelligence, sustainable manufacturing practices and circular economy capabilities (2020)INTERNATIONAL JOURNAL OF LOGISTICS MANAGEMENT (2023)Evaluating Structural Equation Models with Unobservable Variables and Measurement Error (1981)PLS-SEM: Indeed a Silver Bullet (2011)A primer on partial least squares structural equation modeling (PLS-SEM) (2014)Partial least squares structural equation modeling (PLS-SEM): A useful tool for family business researchers (2014)Partial Least Squares Structural Equation Modeling (PLS-SEM) Using R (2021)Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology (1989)A method for taxonomy development and its application in information systems (2012)In AI we trust? Perceptions about automated decision-making by artificial intelligence (2020)User Acceptance of Information Technology: Toward A Unified View1 (2003)Understanding consumer adoption of mobile payment in India: Extending Meta-UTAUT model with personal innovativeness, anxiety, trust, and grievance redressal (2020)Coefficient Alpha and the Internal Structure of Tests (1951)Belief, Attitude, Intention and Behavior: An Introduction to Theory and Research (1975)Self-efficacy: Toward a unifying theory of behavioral change. (1977)A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies (2000)Consumer Acceptance and Use of Information Technology: Extending the Unified Theory of Acceptance and Use of Technology1 (2012)Construct validity in psychological tests. (1955)Review of Psychometric theory (2nd ed.). (1979)Significance tests and goodness of fit in the analysis of covariance structures. (1980)The Commitment-Trust Theory of Relationship Marketing (1994)A new criterion for assessing discriminant validity in variance-based structural equation modeling (2014)Partial Least Squares Structural Equation Modeling (2017)Assessing measurement model quality in PLS-SEM using confirmatory composite analysis (2019)Understanding knowledge sharing in virtual communities: An integration of social capital and social cognitive theories (2006)Acceptance of blog usage: The roles of technology acceptance, social influence and knowledge sharing motivation (2008)Integrating TTF and UTAUT to explain mobile banking user adoption (2010)Determining factors in the adoption and recommendation of mobile wallet services in India: Analysis of the effect of innovativeness, stress to use and social influence (2019)The extended Unified Theory of Acceptance and Use of Technology (UTAUT2): A systematic literature review and theory evaluation (2020)Technology Acceptance Model 3 and a Research Agenda on Interventions (2008)
this work references cited by second hop

References

  • 1991The theory of planned behavior90,729 cited
  • 1988Structural equation modeling in practice: A review and recommended two-step approach.41,858 cited
  • 2018When to use and how to report the results of PLS-SEM27,424 cited
  • 1981Structural Equation Models with Unobservable Variables and Measurement Error: Algebra and Statistics13,274 cited
  • 2014Partial least squares structural equation modeling (PLS-SEM)11,717 cited
  • 2015Common Method Bias in PLS-SEM10,154 cited
  • 2004Toward an understanding of the behavioral intention to use mobile banking1,963 cited
  • 2016Mobile payment: Understanding the determinants of customer adoption and intention to recommend the technology1,371 cited
  • 2009An empirical examination of factors influencing the intention to use mobile payment1,327 cited
  • 2005Intentions to Use Mobile Services: Antecedents and Cross-Service Comparisons1,292 cited
  • 2009Understanding consumer acceptance of mobile payment services: An empirical analysis1,268 cited
  • 2003Predicting consumer intentions to use on-line shopping: the case for an augmented technology acceptance model1,218 cited
  • 2001Consumer Perceptions of Privacy and Security Risks for Online Shopping1,179 cited
  • 2007Exploring consumer adoption of mobile payments – A qualitative study1,005 cited

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  • 2015Modeling Consumers’ Adoption Intentions of Remote Mobile Payments in the United Kingdom: Extending UTAUT with Innovativeness, Risk, and Trust920 cited
  • 2012An empirical examination of continuance intention of mobile payment services917 cited
  • Cited by

    • 2024Unveiling the Future: Decrypting Mobile Investment Resistance with Multi-Stage SEM-ANN-NCA Approach11 cited
    • 2024Paths to digital mobile payment platforms acceptance and usage: A topology for digital enthusiast consumers9 cited